dataset_maintenance · git:20260906.f9cef19 · 2026-09-06 · sha256 8f0af057817bbc8f
dataset_maintenance git:20260906.f9cef19A
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--- name: dataset_maintenance description: Diagnose, reset and reconcile dataset indexes and storage layouts. Use for explicit operational maintenance, including deletion and migration. --- # Dataset maintenance Operate on dataset indexes and storage through the existing shared abstractions. ## Operations and effects | CLI operation | Scope and default | |---|---| | `diagnose` | List present/orphaned tenants for the selected embedding model. Adapter initialization may reconcile legacy layouts. | | `prune` | List orphaned tenants; delete them only with `--apply`. | | `delete --dataset D` | Immediately delete D's tenant across shared model collections **and its parsed directory**. Raw sources and insights remain. | | `delete --dataset D --embeddings M` | Immediately delete one tenant/model and reset matching index metadata; preserve parsed files. | | `delete --embeddings M` | Immediately delete the entire shared model collection and reset affected dataset manifests. | | `rebuild-index --dataset D` | Reset that tenant for the configured embedding model, preserving parsing checkpoints; then synchronize by default. `--no-sync` stops after reset. | | `activate` / `archive` | Set/remove refresh eligibility markers; do not delete the dataset. | | `create` | Create the standard startup dossier and activate it. | | `dataset-from-insight` | Reconcile selected insights into a generated dataset; can remove obsolete target files. Writes by default; `--dry-run` previews. Does not index. | | `migrate-startup-dossiers` | Plan layout changes and write a JSON manifest; `--apply` performs them. Conflicts produce an unsuccessful CLI exit. | | `migrate-insight-manifests` | Preview reconstructable freshness metadata; `--apply` writes it. Skip manual/dynamic or unknown cases. | A rebuild preserves valid parsed output, but subsequent normal synchronization can reparse changed sources, missing output or changed parser configuration. There is no blanket “never re-parses” guarantee. Operations return their existing diagnostic/count/result types. Errors can leave earlier operations completed; no cross-operation rollback is promised. Legacy insight-manifest reconstruction contains old ranking/profile recipes; it does not establish equivalence with every current skill cache key. ## Usage ```bash conda run -n sictic-env python -m skills.dataset_maintenance diagnose conda run -n sictic-env python -m skills.dataset_maintenance prune conda run -n sictic-env python -m skills.dataset_maintenance rebuild-index --dataset example-startup --no-sync conda run -n sictic-env python -m skills.dataset_maintenance dataset-from-insight --target-dataset example-generated --skill person_profile --dry-run ``` These operations are not harness or bulk-refresh jobs. Use command `--help` for selectors; `delete` has no dry-run flag. ## References - [Index operations](maintenance.py), [CLI](__main__.py) - [Dossier migration](startup_dossiers.py), [insight metadata migration](insight_manifests.py) - [Shared storage contracts](../standards_and_architecture/SKILL.md#datasets-and-storage)